中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs

文献类型:期刊论文

作者Hao-Ran Yang; Wei Ni
刊名Machine Intelligence Research
出版日期2022
卷号19期号:1页码:75-88
关键词Distributed convex optimization second-order distributed algorithm multi-agent systems gradient tracking directed graph
ISSN号2731-538X
DOI10.1007/s11633-022-1319-2
英文摘要This paper proposes second-order distributed algorithms over multi-agent networks to solve the convex optimization problem by utilizing the gradient tracking strategy, with convergence acceleration being achieved. Both the undirected and unbalanced directed graphs are considered, extending existing algorithms that primarily focus on undirected or balanced directed graphs. Our algorithms also have the advantage of abandoning the diminishing step-size strategy so that slow convergence can be avoided. Furthermore, the exact convergence to the optimal solution can be realized even under the constant step size adopted in this paper. Finally, two numerical examples are presented to show the convergence performance of our algorithms.
源URL[http://ir.ia.ac.cn/handle/173211/55929]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位School of Science, Nanchang University, Nanchang 330031, China
推荐引用方式
GB/T 7714
Hao-Ran Yang,Wei Ni. Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs[J]. Machine Intelligence Research,2022,19(1):75-88.
APA Hao-Ran Yang,&Wei Ni.(2022).Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs.Machine Intelligence Research,19(1),75-88.
MLA Hao-Ran Yang,et al."Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs".Machine Intelligence Research 19.1(2022):75-88.

入库方式: OAI收割

来源:自动化研究所

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